Metadata-Version: 2.4
Name: christofy
Version: 0.0.1
Summary: A lightweight and modular PyTorch-based image classification package
Author-email: Aswin Christo <aswinchristo17@gmail.com>
License: MIT License
        
        Copyright (c) 2025 Aswin Christo
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/aswinchristo/christofy
Project-URL: Bug Tracker, https://github.com/aswinchristo/christofy/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# Christofy 🧠📦

**Christofy** is a lightweight and modular PyTorch-based image classification package designed for both training and prediction. Built on top of ResNet18, it supports both binary and multi-class classification with clean abstractions and an easy-to-use API.

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## 🚀 Features

- ✅ Train image classifiers using CNN (ResNet18)
- ✅ Binary and multi-class classification support
- ✅ Predict the class of a single image using saved model
- ✅ Modular structure: clean separation between training and prediction
- ✅ Ready to be installed as a Python package

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